Nemotron 4 340B vs Nemotron-Nano-12B-v2-VL
Nemotron 4 340B (2025) and Nemotron-Nano-12B-v2-VL (2025) are compact production models from NVIDIA AI. Nemotron 4 340B ships a 4k-token context window, while Nemotron-Nano-12B-v2-VL ships a not-yet-sourced context window. On pricing, Nemotron-Nano-12B-v2-VL costs $0.20/1M input tokens versus $4.20/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Nemotron-Nano-12B-v2-VL is ~2000% cheaper at $0.20/1M; pay for Nemotron 4 340B only for provider fit.
Decision scorecard
Local evidence first| Signal | Nemotron 4 340B | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Best for | provider-routed production | multimodal apps and provider-routed production |
| Decision fit | Classification and JSON / Tool use | Vision and JSON / Tool use |
| Context window | 4k | — |
| Cheapest output | $4.20/1M tokens | $0.60/1M tokens |
| Provider routes | 2 tracked | 3 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Nemotron 4 340B has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Nemotron 4 340B for Classification and JSON / Tool use.
- Nemotron-Nano-12B-v2-VL has the lower cheapest tracked output price at $0.60/1M tokens.
- Nemotron-Nano-12B-v2-VL has broader tracked provider coverage for fallback and procurement flexibility.
- Nemotron-Nano-12B-v2-VL uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Nemotron-Nano-12B-v2-VL for Vision and JSON / Tool use.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Nemotron 4 340B
$4,410
Cheapest tracked route/tier: DeepInfra
Nemotron-Nano-12B-v2-VL
$310
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $4,100. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Nemotron-Nano-12B-v2-VL is $3.60/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Nemotron-Nano-12B-v2-VL adds Vision and Multimodal in local capability data.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Nemotron 4 340B is $3.60/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-02-27 | 2025-10-28 |
| Context window | 4k | — |
| Parameters | 340B | 12B |
| Architecture | decoder only | decoder only |
| License | NVIDIA Open Model | Llama 3 Community |
| Openness | Open weights | Open weights |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Nemotron 4 340B | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Input price | $4.20/1M tokens | $0.20/1M tokens |
| Output price | $4.20/1M tokens | $0.60/1M tokens |
| Providers |
Capabilities
| Capability | Nemotron 4 340B | Nemotron-Nano-12B-v2-VL |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| Tool use | No | No |
| Structured outputs | Yes | Yes |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Nemotron-Nano-12B-v2-VL and multimodal input: Nemotron-Nano-12B-v2-VL. Both models share structured outputs, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
For cost, Nemotron 4 340B lists $4.20/1M input and $4.20/1M output tokens on the cheapest tracked provider, while Nemotron-Nano-12B-v2-VL lists $0.20/1M input and $0.60/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts Nemotron-Nano-12B-v2-VL lower by about $3.88 per million blended tokens. Availability is 2 providers versus 3, so concentration risk also matters.
Choose Nemotron 4 340B when provider fit are central to the workload. Choose Nemotron-Nano-12B-v2-VL when vision-heavy evaluation, lower input-token cost, and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which is cheaper, Nemotron 4 340B or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL is cheaper on tracked token pricing. Nemotron 4 340B costs $4.20/1M input and $4.20/1M output tokens. Nemotron-Nano-12B-v2-VL costs $0.20/1M input and $0.60/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Nemotron 4 340B or Nemotron-Nano-12B-v2-VL open source?
Nemotron 4 340B is listed under NVIDIA Open Model. Nemotron-Nano-12B-v2-VL is listed under Llama 3 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Nemotron 4 340B or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Nemotron 4 340B or Nemotron-Nano-12B-v2-VL?
Nemotron-Nano-12B-v2-VL has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for structured outputs, Nemotron 4 340B or Nemotron-Nano-12B-v2-VL?
Both Nemotron 4 340B and Nemotron-Nano-12B-v2-VL expose structured outputs. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Nemotron 4 340B and Nemotron-Nano-12B-v2-VL?
Nemotron 4 340B is available on NVIDIA NIM and DeepInfra. Nemotron-Nano-12B-v2-VL is available on NVIDIA NIM, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
Continue comparing
Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.